Abstract: Software development process modeling is gaining increasing interest among academic researchers and IT-industry practitioners alike as an approach for analyzing complex business questions of software production from the strategic management of software development, to supporting process improvements. A number of simulation models of software dynamics have been developed based on system dynamic approach with the use of special simulation programming tools. At the same time analytical software development modeling are of great interest as a tool of process optimization and control. In this paper the software development processes model based on the state machine and queuing network approach is proposed. The goal is the software development process dynamics modeling t hat is the evaluation of software product readiness progress in the course of time. Software product is considered as a set of system requirements, and software development process is represented as consecutive transition of each system requirement through the states of the defined state machine. The state machine model is a queuing network with service nodes which correspond to a number of implementers of system requirements on each stage of the development. Implementers are business analytics, architectures, developers, testers, etc. In general, the state machine is defined according to the used software development methodology. The markovian processes theory is further used for the queuing network modeling and quality indexes estimation. The proposed model can be used as a basis for modeling the dynamics of a software project development to get estimations of the following project parameters: effort, duration, cost, resources usage, development schedule, etc.

Keywords: software development process dynamics, software engineering, production modeling, state machine, project management

ACM Classification Keywords: D. Software – D.2 SOFTWARE ENGINEERING – D.2.8 Metrics (Process metrics, Product metrics), D.2.9 Management (Cost estimation, Life cycle, Productivity, Software process models, Time estimation); K. Computing Milieux – K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS – K.6.1 Project and People Management (Life cycle, Staffing), K.6.3 Software Management (Software process), K.6.4 System Management (Management audit)

Link:

SOFTWARE DEVELOPMENT PROCESS DYNAMICS MODELING AS STATE MACHINE

Leonid Lyubchyk, Vasyl Soloshchuk

http://foibg.com/ibs_isc/ibs-20/ibs-20-p05.pdf